Improved Lagrangian relaxation based optimization procedure for scheduling with storage
نویسندگان
چکیده
منابع مشابه
Particle Swarm Optimization Based Lagrangian Relaxation Method for Unit Commitment
This thesis proposes a two-stage optimization for solving unit commitment. In the first stage, Lagrangian Relaxation (LR) method is used to solve unit commitment using a sub-gradient algorithm for updating Lagrange multipliers. In the second stage, Particle Swarm Optimization (PSO) is applied to update Lagrange multipliers in the Lagrangian Relaxation method (PSOLR). Lagrange multipliers soluti...
متن کاملImproved teaching–learning-based and JAYA optimization algorithms for solving flexible flow shop scheduling problems
Flexible flow shop (or a hybrid flow shop) scheduling problem is an extension of classical flow shop scheduling problem. In a simple flow shop configuration, a job having ‘g’ operations is performed on ‘g’ operation centres (stages) with each stage having only one machine. If any stage contains more than one machine for providing alternate processing facility, then the problem...
متن کاملA Method of Solving Scheduling Problems Using Genetic Algorithm with Improved Lagrangian Relaxation Method
The combinational optimization problem, such as scheduling problem, transportation programming, delivery planning, is limited by many conditions and difficult to be resolved [1]. Furthermore, in the case of a large-scale combinational optimization problem, there are many cases that a good solution cannot be obtained even if a human being spends a few days on solving it [2]. However, in recent y...
متن کاملStorage Hierarchy Optimization Procedure
The goal of storage hierarchies is to combine several storage technologies in such a way as to approach the performance of the fastest component technology and the cost of the least expensive one. This paper presents optimization techniques for a storage hierarchy subject to quantity-sensitive component costs. It is assumed that a finite (and probably small) set of technologies is available. Ea...
متن کاملScheduling Electric Power Generators Using Particle Swarm Optimization Combined with the Lagrangian Relaxation Method
This paper describes a procedure that uses particle swarm optimization (PSO) combined with the Lagrangian Relaxation (LR) framework to solve a power-generator scheduling problem known as the unit commitment problem (UCP). The UCP consists of determining the schedule and production amount of generating units within a power system subject to operating constraints. The LR framework is applied to r...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IFAC-PapersOnLine
سال: 2019
ISSN: 2405-8963
DOI: 10.1016/j.ifacol.2019.11.159